Wendelin Böhmer

Wendelin Böhmer serves as an Assistant Professor in the Algorithmics Group at TU Delft and co-directs the HERALD Delft AI Lab. After earning his PhD in computer science from the Technical University of Berlin, he worked as a Postdoctoral Researcher at Oxford University and Lecturer at St. Anne's College before joining TU Delft in September 2020. His research bridges the gap between inductive and deductive reasoning in artificial intelligence, with a particular focus on deep reinforcement learning. He contributes to several educational initiatives, including the AI Skills program where he teaches advanced concepts in unsupervised learning, deep learning, and reinforcement learning. His teaching portfolio includes comprehensive coverage of clustering techniques, dimensionality reduction, neural networks, and reinforcement learning fundamentals. Through his courses, students learn essential concepts such as k-means clustering, Principal Component Analysis, deep neural network architectures, and Q-learning applications. His teaching approach combines theoretical foundations with practical applications, helping students understand both the mathematical principles and real-world implementations of AI systems. He emphasizes hands-on learning through interactive exercises and practical projects, particularly in areas such as neural network training, reinforcement learning algorithms, and AI agent development.